Research On Data Security Sharing Scheme In Internet Of Vehicles

In recent years,as the importance of Internet of Vehicles(Io V)technology in the architecture of intelligent transportation systems has increased,smart connected vehicles have continued to develop in the direction of electrification,networking,intelligence and sharing,in which data sharing can improve vehicle driving safety and efficiency,and the response speed of vehicles in unfamiliar environments can be enhanced by sharing road safety information and application data among vehicles.However,some malicious vehicles in Telematics release false data or tamper with others’ data,which can lead to errors in vehicle judgment and serious traffic accidents.In this thesis,we design a data security sharing system based on the national secret algorithm to achieve data privacy protection,and implement a system intrusion detection scheme based on an improved dendritic cell immune algorithm in the vehicle networking environment in order to enhance the warning capability of the system when it is under attack and ensure the security of the data sharing system.The main research work of the thesis is as follows.(1)A secure data sharing scheme for Telematics based on the national secret algorithm.For the characteristics of high mobility and variable network topology of vehicles in Telematics,the scheme introduces edge computing nodes to establish the system architecture and design a secure data sharing scheme in two communication modes,one-to-one communication environment and one-to-many communication environment in Telematics.The one-to-one privacy data sharing scheme uses the national secret algorithm to encrypt the shared data for transmission to ensure data privacy and security;the one-to-many data sharing scheme uses proxy re-encryption technology to realize data dense state sharing.(2)Anomaly detection system based on improved dendritic cell immune algorithm.Aiming at the problem that the vehicle network data sharing system is vulnerable to malicious attacks,this thesis fuses particle swarm algorithm and gravitational search algorithm for improving the traditional DCA algorithm,and proposes an improved DCA(EDCA)algorithm based on PSO-GSA algorithm,which achieves adaptive tuning of parameters through population iteration to improve the accuracy rate.And we design an intrusion detection system based on EDCA algorithm,the system can find out the abnormal packets in the network data traffic,and discern whether the system is intruded according to the abnormal index.Through experiments and data analysis,our solution has better detection performance compared with other anomaly detection models,and the average accuracy can reach 98.4%,and it can still maintain good stability under different environments.(3)On the basis of the above research,this thesis builds a prototype system for secure sharing of vehicle network data from the software development process of requirement analysis,system architecture design,module function design and system presentation.